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Sr. Data Management Consultant

4 months ago

Dallas, United States Slalom Full time

Who You’ll Work With

As a modern technology company, we've never met a technical challenge we didn't like. We enable our clients to learn from their data, create incredible digital experiences, and make the most of new technologies. We blend design, engineering, and analytics expertise to build the future. We surround our technologists with interesting challenges, innovative minds and emerging technologies.

Our Data Governance practice assists customers on their journey to becoming fully data-driven organizations. Our objective is to optimize our client’s ability to successfully manage the decision rights and responsibilities of their data to ensure availability, usability, integrity, and security of their information assets. By co-creating solutions that align the people, processes, and technology, we help ensure their data is trustworthy, meaningful, and properly accessible. You will experience a variety of client projects including performing assessments, devising and implementing data quality, data catalog, and master data solutions, and assisting in the delivery of comprehensive Data Governance and Data Management projects.

Our team is open to hiring at either the Sr. Consultant or Principal level for this opening.

What You’ll Do

Assist in the Data Governance (DG) discovery phase including business team interviews, identifying key business processes, and inventorying existing data assetsWork with Slalom peers to develop and/or revise DG frameworks, operating models, and key workflow processesWork with our clients to define required technical and business metadata, identify data lineage needs, determine scanning schedules, and implement data catalog toolsAssess data quality, remediate data quality issues, develop data quality rules, create metrics, thresholds, and responses for data quality, and automate monitoringEnhance Master Data Management (MDM) solutions by identifying key data elements, creating steps for cleansing and enrichment, developing match/merge rules, and identifying the appropriate review and approval processesTrain and coach candidate data stewards to steward their data by identify data quality rules, associating policies, standards, and procedures, and defining proper data usage Travel requirements: